Content-based filtering works by analyzing the content of the objects to form a representation of the visitor's interests.
基于内容的过滤通过分析目标的内容形成对访客兴趣的陈述。
The paper presents a personalization recommendation system based on search result by combining content-based filtering technol.
本文研究的是在线渠道这一新的信息媒介中，消费者信息搜索效果的影响因素。
Most of the content-based filtering algorithms are based on vector space model, of which Naive Bayes algorithm and K-Nearest Neighbor (KNN) algorithm are widely used.
基于内容的过滤算法大多数是基于向量空间模型的算法，其中广泛使用的是朴素贝叶斯算法和K最近邻（KNN）算法。
Instead of finding objects similar to those a visitor liked in the past, as in content-based filtering, collaborative filtering develops recommendations by finding visitors with similar tastes.
与在目标中找寻过去的相似点的基于内容的过滤不同，协同过滤通过找寻具有相同品位的访客开发出推荐的项目。
The logic is primarily based on filtering rules that may be applied on the message content, message header, service requester, and so on to decide the best service provider at run time.
该逻辑主要基于筛选规则，可以将这些筛选规则应用于消息内容、消息头、服务请求者等等，以在运行时决定最恰当的服务提供者。
Content filtering based on device capabilities.
内容过滤，这依赖于设备的性能。
The feature of skin color is an important feature of human being, which plays a key role in human face detection and recognition, objectionable image filtering based on content, etc.
肤色特征是人体表面的重要特征，在人脸检测与识别、基于内容的不良图像过滤系统中有着重要的地位。
The key to content based text filtering consists in constructing the semantic representation of users' profile.
基于内容的文本过滤关键在于建立语义层次上的用户模板。
Desktop or Gateway policy-based encryption and content filtering.
基于台式机或网关策略的加密及内容筛选。
The key to content-based text filtering consists in constructing an effective filtering profile.
基于内容的文本过滤关键在于建立有效的过滤模板。
Nowadays, anti-spam measurements often include black or white list technique, manual rules and keyword based content filtering.
目前，常用的包括黑名单与白名单技术、基于关键词搜索以及设定过滤规则等方法。
In this thesis, the main research is content-based junk short messages filtering which can be treated as irregular short text classification problem.
本文主要研究了基于内容的垃圾短信过滤，它可以看成是一个不规则短文本的分类问题。
Most of the available methods of XML content filtering are based on SAX event driven which is not very efficient.
而现有的大部分XML内容筛选方法都是基于SAX分析的事件驱动过程，效率普遍较低。
Thispaper introduces two main filtering methods, named content-based and collaborative filtering;
本文介绍了基于内容和基于协作的两种不同的过滤方法；
It analyses the information transported in application layer content protocol and controls the forwarding of the information based on the filtering rules.
它对应用层内容协议中传输的信息进行分析，并根据过滤条件控制信息的转发。
Absrtact: The key to content - based text filtering consists in constructing an effective filtering profile.
摘要：基于内容的文本过滤关键在于建立有效的过滤模板。
The main characteristics: the recommendation algorithm-based content filtering and collaborative filtering algorithm combined with the recommendation;
本文的主要特色：把基于内容过滤的推荐算法和协同过滤的推荐算法相结合；
The main characteristics: the recommendation algorithm-based content filtering and collaborative filtering algorithm combined with the recommendation;
本文的主要特色：把基于内容过滤的推荐算法和协同过滤的推荐算法相结合；
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